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Adaptive rate control using nonlinear regression
IEEE Transactions on Circuits and Systems for Video Technology, 2003This paper presents a simple, fast, and accurate rate-control algorithm using nonlinear regression that plays a central role in estimation theory. We measure a conditional mean by estimating a joint probability density function (PDF) using Parzen's (1962) window.
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Restaurant Rating Prediction Using Regression
2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2021Suhas Somashekar, Suhas Mallesh
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Using quantile regression for rate-making
Insurance: Mathematics and Economics, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Interest Group Ratings and Regression Inconsistency
Political Analysis, 2001This article uses spatial voting theory to analyze the properties of linear regressions that employ interest group ratings as measures of legislator policy preferences. Such regressions, in general, yield inconsistent results. In particular, least-squares estimation of a bivariate regression which contains an interest group rating as a regressor ...
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Estimating Calorie Poverty Rates Through Regression
2019In this paper we assume a tri-variate distribution of the nutrient intake (y), say calorie intake, the income (x) and the nutrient norm (z) of the households, which leads to linear or log-linear regression equations depending on the type of joint distribution assumed for the purpose of estimation.
Manoranjan Pal, Premananda Bharati
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Analysis of fractional turnover rates by exponential regression
Computer Methods and Programs in Biomedicine, 1992A recent article (Leonhardt et al. Comput. Methods Prog. Biomed. 32 (1990) 345-350) described the analysis of biological turnover data using a model involving an exponential decay from an initial value to a plateau. The authors included a BASIC program for this analysis, claiming that no comparable programs have been published.
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Growth Rate Using Regression Analysis
2023D Narayana, Sharad Ranjan, Nupur Tyagi
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On the regression analysis of tumour recurrence rates
Statistics in Medicine, 1989AbstractRegression models with mixture (random) components are proposed for the statistical analysis of recurrent events when waiting times between successive events are unknown. These models allow adjustment of parameter estimates for unobserved heterogeneity in the population (due for example to missing covariates) or overdispersion resulting from ...
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